The detection of abnormal airline targets based on evidence theory
Li L · Electronic Design Engineering · 2015
Because of the uncertain and high conflict information caused by the low SNR in a tracking system,the previous air target to airline association algorithm in probabilistic framework can't deal with these issues effectively.Considering the special advantage of evidence reasoning in the measurement and combination of uncertain and high conflict information,a classification algorithm in the evidence reasoning framework is proposed.For identifying the abnormal airline targets,a novel air target to airline association algorithm based on dynamic evidence theory is proposed.For radar tracking system with low SNR,this algorithm is adopted to achieve the track classification and the detection of abnormal airline targets.The results show that the algorithm under the framework of dynamic evidence reasoning can deal with the track classification and the detection of abnormal targets effectively.